Theta welcomes NTU Singapore as the newest EdgeCloud customer, expanding into Singapore and Southeast Asia

We’re thrilled to welcome Nanyang Technological University, Singapore (NTU Singapore), one of the most prestigious universities in Asia as the latest EdgeCloud academia customer. Ranked among the top two universities in Singapore, alongside the National University of Singapore (NUS), and 15th globally in the QS World University Rankings 2025, NTU stands among elite institutions such as MIT, Stanford, and the University of Pennsylvania.

The Speech and Language Laboratory, developed in collaboration with Professor Li Haizhou (National University of Singapore) and Professor Chng Eng Siong from NTU, joins Theta Labs’ premium network of academic partners including Seoul National University, KAIST, University of Oregon, Peking University, and many others.

“We’ve seen Theta Labs success and collaboration with many of the top South Korean and US universities, and we’re excited to use EdgeCloud to scale our research at NTU’s Speech Lab. The platform’s easy-to-use distributed GPU infrastructure allows us to push our research into speech, language processing, multilingual ASR and real-time AI applications. This was a key driver for us to adopt Theta EdgeCloud.” — Professor Chng Eng Siong, Singapore NTU

About Professor Chng Eng Siong and NTU’s Speech and Language Laboratory

Professor Chng Eng Siong, a globally respected expert in speech and language processing, has led NTU’s Speech and Language Laboratory since its establishment in 2007. Under his leadership, the lab has become a trailblazer in advancing multilingual speech recognition, speaker extraction, and AI-driven language models. Key achievements and focus areas include:

• Code-Switching ASR Systems: Developing advanced speech recognition models for languages such as English, Mandarin, and Singlish.
• Speech Enhancement: Innovating solutions for noise reduction, speaker extraction, and overlapping speech recognition.
• AI-Powered Language Models: Leveraging large language models (LLMs) for generative error correction, domain-specific applications, and contextual understanding.
• Classification and Speaker Identification: Pioneering research in diarization, deep fake detection, and audio event classification under complex conditions.

With over S$18 million in research funding, Professor Chng’s lab collaborates with leading industry partners to push the boundaries of speech and language AI. His contributions have earned international recognition, placing NTU as a leader in this critical research area.

Prof. Chng and the teams from NTU and Tianjin University proposed a Speech Emotion Recognition (SER) method that processes audio by splitting it into segments and extracting features like MFCC, spectrogram, and wav2vec2 embeddings. These features allow for more accurate emotion recognition.

Driving Research with Theta EdgeCloud AI

NTU’s Speech Lab will leverage Theta EdgeCloud’s decentralized GPU infrastructure to drive advancements in speech and language AI. The platform will enable NTU to train and fine-tune multilingual ASR models at scale, develop robust real-time transcription systems, and drive innovation in noise reduction and speech identification.

It underscores Theta EdgeCloud as the hybrid cloud-edge GPU platform of choice for advanced AI research in speech and language processing, and general AI.

Building on the success of Theta Lab’s 2024 initiatives, this partnership aligns with the key milestones outlined in the 2025 Roadmap. These milestones include the Beta release of Theta EdgeCloud’s fully hybrid cloud-edge computing platform in June 2025 and the ongoing expansion of its decentralized edge network, now encompassing over 30,000 nodes globally.